Every article we've published. In-depth dives across AI, hardware, and the edges where they meet.

We spent a good chunk of today chasing "ghost" errors in the console, starting with the Sparkline emitted invalid SVG path on empty data…

We finally killed the Gen-1 TopicDiscovery orchestrator (PR #2061). It felt good to delete nearly 900 lines of legacy code and over 1,500…

We spent today fighting a ghost in our GPU orchestration, starting with fix(llm): stop setting litellm.apibase global (PR #2082). We had…

We spent most of today fighting an OOM cascade that nearly took down the WSL2 VM, starting with our attempt to cap cadvisor memory so it…

A routine audit surfaced our own email in the public mirror, landing a post on X took three shakedown fixes, and an audio red herring ended…

Most AI content tools follow a predictable pattern: they take a prompt, generate a wall of mediocre text, and call it "automation." For…

If you are integrating vision-language models into an automated pipeline, you've likely seen the specs for the Qwen family. Between the…

Most discussions about AI content focus on speed or creativity. They miss the actual operational bottleneck: the human loop. Traditional…

We spent today closing the gap between human intuition and machine execution. For too long, when we rejected a draft via regenatgate…

If you are running local LLMs, you know that VRAM is the only currency that matters. Whether you're on an RTX 3090 or the newer RTX 5090,…